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shapby K-DenseDataGitHub stars: 47.3k

SHAP skill: what it does and how to install it

Explains and audits machine-learning predictions with SHAP, selecting explainers, validating feature attributions, and producing local or global visualisations.

Summary generated from the skill's documentation.

Install

$ npx skills add K-Dense-AI/scientific-agent-skills --skill shap

Run it in a terminal. If your agent is already running, start a new session so it picks the skill up.

About this skill

What it does. Guides SHAP analysis from defining the model output and background population through explainer and masker selection, modern shap.Explanation computation, additivity checks, and local or global plots. Covers tabular, multi-output, text, image, cohort and model-agnostic workflows, with troubleshooting and reporting guidance.

When to use it. Use it to audit how a fixed model maps inputs to outputs. It does not replace predictive validation or establish causality, fairness, recourse, or scientific mechanism.

History

Repo stars

47.3kAbout +18.6k since 9 Jul 2026

Before 1 Oct 2026 the curve is estimated from public event data.

Stars are counted for the whole repository, which holds 50 skills.

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Repo stars by day
DateRepo stars
1 Oct 202647,271
24 Sept 2026 (estimated)46,976
17 Sept 2026 (estimated)46,257
10 Sept 2026 (estimated)41,836
3 Sept 2026 (estimated)30,545
27 Aug 2026 (estimated)29,347
20 Aug 2026 (estimated)29,160
13 Aug 2026 (estimated)29,027
6 Aug 2026 (estimated)28,947
30 Jul 2026 (estimated)28,894
23 Jul 2026 (estimated)28,894
16 Jul 2026 (estimated)28,841
9 Jul 2026 (estimated)28,708

Installs

1.8k

Tracking since . A chart appears once there are 7 days of data.

Installs via skills.sh

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